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About HCLTech
HCLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We re powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving.
Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040.

To learn more about how we can supercharge progress for you, visit www.hcltech.com

AI/ML Solutions Architect (MySQL)

Job Summary
This role is responsible for architecting and designing advanced AI/ML solutions that leverage modern data platforms and machine learning frameworks. The individual will drive technical strategy, oversee solution delivery, and ensure alignment with business objectives by integrating scalable machine learning models and robust data pipelines. They will provide expert guidance to the team, foster innovation, and champion best practices in AI/ML engineering.

• Key Responsibilities
  1. Architect end-to-end AI/ML solutions using Python, TensorFlow, PyTorch, and scikit-learn, ensuring scalable model deployment and integration with enterprise systems.
  2. Design and implement distributed data processing workflows with Apache Spark and Kafka to support real-time and batch ML model operations.
  3. Develop robust data pipelines and feature engineering processes using pandas, NumPy, and Apache Airflow to optimize model performance and data quality.
  4. Oversee the development and validation of machine learning models for NLP, deep learning, and time series forecasting, applying advanced techniques and frameworks such as XGBoost and LightGBM.
  5. Define and enforce architectural standards for model storage, versioning, and reproducibility using MySQL, PostgreSQL, and DataBricks.
  6. Mentor team members on AI/ML best practices and emerging technologies, ensuring continuous skill enhancement and technical excellence.
  7. Collaborate with internal stakeholders to gather requirements and translate business needs into technical specifications for AI/ML solutions.
  8. Evaluate and integrate new tools and technologies to maintain solution relevance and meet evolving client requirements.
  9. Architect and implement RESTful API integrations to enable seamless communication between AI/ML components and external systems, ensuring scalable, secure, and efficient data exchange across diverse enterprise environments.
  
  Skill Requirements
  1. Expert Proficiency In Ai/Ml Model Development Using Python, Tensorflow, Pytorch, And Scikitlearn.
  2. Excellent Knowledge Of Distributed Data Processing With Apache Spark And Kafka.
  3. Advanced Skills In Data Engineering, Feature E